business intelligence processes

Legacy Enterprise Resource Planning (ERP) solutions are no longer capable of keeping up with today’s fast-moving world – Enterprise Management is the new business reality.
Whether you’re a manufacturer, distributor, service provider or mid-market enterprise, we’ll reveal to you a world beyond ERP.
• Download our new ‘Move Beyond ERP’ eBook to understand the business challenges you have, and how to meet them.
• Understand why businesses are outgrowing traditional ERP and are burdened by its inefficiencies.
• Look at the benefits of Enterprise Management, which provides real-time data intelligence, improved forecasting, and accelerated business processes.

Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.

This book is written for readers who have varying levels of
familiarity with ODM. It doesn’t focus on any particular vendor’s
offering; instead, it talks about the features of ODM as a
model for managing operational decision-making.
This book isn’t about offline business intelligence systems.
While those systems are very valuable, the focus of this book
is on automated decisions that can be executed in real time in
conjunction with your business applications and processes.

Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes.

While historically consumer packaged goods (CPG) organizations have made significant investments in data collection and integration, much of the data stored in their IT infrastructures has not been analyzed or deployed to further the firms' business performance. Those enterprises that learn to effectively harness the vast quantities of information generated by their IT systems - both within and outside the corporation - will enjoy a substantial competitive advantage.

Hospitals from across the world are facing increased pressure to improve operations from multiple directions. Legal requirements, an aging population in many developed countries, and an ever-increasing need to be service-oriented are forcing hospitals to do more with less. Those that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.

Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes.

Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions.
This paper is your first step in understanding:
• how you can leverage and operationalize analytics in your everyday business processes
• improve customer relationships
• grow revenue in an increasingly competitive world

Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.

If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself:
- Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?

Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story.
The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making.
Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders.
Access this paper to learn essential best practices for creating a solid BI and analytics strategy.

Read this white paper by Don Tapscott and explore the criteria best-in-class hospitals use for selecting business intelligence solutions. Companies that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.

With the business intelligence functionality in SAP® Business All-in-One solutions, your company can gain visibility, insight, operational alignment, and accountability to increase revenue, margins, and liquidity; streamline processes; improve agility; and become a best-run business.

SAP® BusinessObjectsT Edge BI software is ideal for midsize companies wanting to improve business intelligence (BI) processes and get an edge on the competition. It can help you address just about any BI requirement - and leverage the applications, data sources, and platforms your company already uses.

Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and
analytics. And you can do it through an interface that anyone can use.
At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days.
Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced

These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence
Practice, sees particular interest and application in AML circles.
"There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses:
• The new industry intrigue with artificial intelligence a

Location analytics is the process of
integrating geographical data into business intelligence (BI) and analytics-led decision
making. Location analytics creates meaningful insight from relationships found in
geospatial data to solve a broad variety of business and social problems.
Location data is found everywhere – with an item or a device, in a conversation or
behavior, in machines or sensors, tied to a customer or competitor, attached to a
database record or recorded from vehicles or other moving objects. Organizations
want to take advantage of location data to improve decisions, create better customer
engagement and experiences, reduce risks and automate business processes.

Because all processes should be aligned to customer metrics, process improvement is an important goal for organizations in every industry. This paper illustrates the impact analytics can make on business processes through real-world examples based on IBM client experiences, and describes the steps organizations can take to refine quality, warranty, financial, inventory and other processes that are essential to achieving operational excellence.

Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.

Special Report

In this webinar Black Duck Software (www.blackducksoftware.com), together with representatives of SAP, will review the benefits open source offers to development organizations, the management challenges it presents, and approaches for addressing those challenges.

Add Research

Get your company's research in the hands of targeted business professionals.